Abstract
The relevance of the research topic is associated with a small number of existing innovations that are used at the stage of inspecting the scene during the investigation of crimes. Most of the new scientific methods and tools have been developed and are used in the examination of evidence in the framework of forensic examination, for example: DNA analysis, computer image analysis, forensic facial reconstruction, etc. There is a time lag in the scientific support of the photo shooting of the crime scene, the evidence found, their evaluation and visual demonstration in court, which negatively affects the speed and quality of the criminal investigation. The article provides a comprehensive analysis of the capabilities of spherical photo technologies of a crime scene and building a visual step-by-step illustration using virtual reality devices. The authors have developed guidelines for capturing the scene of the incident with modern panoramic photo and video cameras, as well as visualizing the captured information using virtual reality devices in crime investigation activities. The use of methods of fixing a crime scene with panoramic photo and video technologies, as well as visualization of the captured information using virtual reality devices will be interpreting and presenting evidence, as well as improve the objectivity and quality of criminal investigation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Grant, H.: Social Crime Prevention in the Developing World. Exploring the Role of Police in Crime Prevention, p. VI, 51. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-319-13027-9
Jahankhani, H.: Cyber Criminology, p. X, 357. Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-319-97181-0
Savona, E.U.: Crime and Technology. New Frontiers for Regulation, Law Enforcement and Research, p. XIV, 142. Springer, Dordrecht (2004). https://doi.org/10.1007/978-1-4020-2924-0
LeClerc, B., Savona, E.U.: Crime Prevention in the 21st Century. Insightful Approaches for Crime Prevention Initiatives, p. XIII, 396. Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-319-27793-6
Jacobs, C.: Interactive Panoramas. Techniques for Digital Panoramic Photography, p. XIII, 248. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-642-18665-3
The Criminal Code of the Russian Federation of June 7, 1996, No. 63-FZ (as amended on June 27, 2018). https://fzrf.su/kodeks/uk/. Accessed 7 July 2018
Federal Law “On Police” of 07.02.2011 N 3-FZ (Ed. 12/19/2016). Article 11
Langmann, S., Pick, D.: Photography as a Social Research Method, p. XII, 167. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-7279-6
Jung, T., Claudia tom Dieck, M.: Augmented Reality and Virtual Reality, p. XI, 335. Springer, Heidelberg (2019). https://doi.org/10.1007/978-3-030-06246-0
Mihelj, M., Novak, D., Beguš, S.: Virtual Reality Technology and Applications, p. X, 231. Springer, Dordrecht (2014). https://doi.org/10.1007/978-94-007-6910-6
Bishop, C.: Pattern Recognition and Machine Learning, p. XX, 738. Springer, New York (2006)
Deng, Z., Neumann, U.: Data-Driven 3D Facial Animation, p. VIII, 296. Springer, London (2008). https://doi.org/10.1007/978-1-84628-907-1
Federal State Standard of Higher Education in the direction of training 40.03.01 Jurisprudence. Registered in the Ministry of Justice of Russia on December 29, 2016 No. 45038, paragraph 7.3
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Bulgakov, V., Trushchenkov, I., Bulgakova, E. (2019). Spherical Panoramic Photo Shooting and Virtual Reality Demonstration of a Crime Scene. In: Kravets, A., Groumpos, P., Shcherbakov, M., Kultsova, M. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2019. Communications in Computer and Information Science, vol 1084. Springer, Cham. https://doi.org/10.1007/978-3-030-29750-3_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-29750-3_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29749-7
Online ISBN: 978-3-030-29750-3
eBook Packages: Computer ScienceComputer Science (R0)